Brian Spilner

@Mericamemed No joke, this reflects the type of vehicle modifications I saw all over Baghdad back in 2010 (esp. coalition forces in/around green zone).

A perfect car for a Mad Max world

@TopherGotWifi Does it start with an “E” and end with an “E”? Asking for a friend.

👀Topher has found a stock with one of his associates. We have analyzed the piss out of it. It’s a hidden gem in today’s stock market. A full writeup will be dropping in the morning. You’re going to want to take a look at this company, and you’ve probably never heard of it. Sweet dreams X.

Automation consultants charge $15K for what Claude Code now does in 2 hours. I know because we're the ones who used to charge it. Here's the exact process: Step 1: Discovery (20 min) → Paste your org chart, tool stack, and top 3 bottlenecks → Claude interviews you with clarifying questions → Outputs a full process inventory ranked by time cost Step 2: Workflow Mapping (15 min) → Describe any department's daily operations in plain English → Claude builds a complete process map → Every manual handoff, redundant step, and automation trigger flagged Step 3: Opportunity Audit (10 min) → Feed it the workflow map output → Returns your top 10 automation opportunities → Ranked by ROI, complexity, and build time Step 4: Architecture Design (20 min) → Claude designs the full system architecture → Which tools connect where, what the data flow looks like → Agents for complex logic, linear flows for the repetitive stuff Step 5: Build (ongoing) → Claude writes the actual workflow JSON → Self-documents everything as it builds Step 6: The output. A live dashboard your whole team can work from. → Clickable process maps for every department → Automation opportunities ranked by ROI → Implementation progress by phase → KPIs updated in real time → One link you share with clients, freelancers, or your team to execute This is what we hand every client at the end of discovery. The .md file is what makes all of it possible. Without it, Claude guesses. With it, Claude builds like a $15K consultant. Like this post, RT and comment "BLUEPRINT" and I'll send you the full prompt stack and the .md file we use internally. (Must be following so I can DM you) 🎁 Bonus: The first 100 people get a real Precision AI Blueprint — an actual sample audit doc from a client engagement so you can see exactly what the output looks like.

@lukepierceops BLUEPRINT

@TheInsiderPaper Could care less about this. Epstein Files. All of them.

NEW: Trump’s UFO release could include videos and photos of non-human craft, potentially proving we are not alone, New York Post reports

@shanaka86 Can't wait for @PalmerLuckey 's response to this.

JUST IN: The US Army just awarded $20 billion to a company whose drones crashed in Ukraine. That is not a scandal. It is the point. Anduril Industries received the largest enterprise contract in modern Army procurement history on 13 March for Lattice, its AI-powered command-and-control platform that fuses thousands of sensor feeds into a single real-time battlespace map, tasks autonomous drone swarms, and enables one operator to control what previously required dozens. The contract covers software, hardware, data infrastructure, compute, and services consolidated into a unified counter-drone capability. The Army did not buy a weapon. It bought an operating system for war. The operating system was written in Ukrainian rubble. Anduril deployed hundreds of Altius loitering munitions and Ghost reconnaissance drones to Ukrainian forces starting in 2024. The early results were catastrophic. Russian electronic warfare, the most sophisticated jamming environment on Earth, tore them apart. GPS spoofing sent Ghost drones spiralling into the ground. Persistent jamming reduced general drone hit rates to 10 to 15%. Altius units crashed before reaching targets. Ukrainian operators, who were simultaneously building their own drones at a rate of one million per year with 96% indigenous production, were unimpressed. Anduril did something most defence contractors do not. It sent engineers to the front line, collected operator feedback in real time, and redesigned the aircraft in months rather than years. The result was Ghost-X: a fundamentally different machine. Where the original Ghost relied on GPS, Ghost-X flies on vision. Onboard computer vision algorithms, optical flow sensors, and terrain mapping through electro-optical and infrared gimbals give the aircraft autonomous navigation in environments where every satellite signal is jammed. It does not need GPS because it can see. It does not need a datalink because Lattice gives it mission autonomy. It does not need a dedicated operator because one person can task an entire swarm. Ghost-X proved, in Anduril’s words, “markedly more resilient” in both Ukrainian combat and US Government electronic warfare testing. The drone that crashed in a jammed Ukrainian field became the drone that flies through jammed airspace without flinching. The $20 billion contract is the Army’s bet that what survived Russian EW can defeat Iranian Shaheds. The Iran war is the contract’s first test at scale. IRGC one-way attack drones are down 95% according to Hegseth’s briefing, but they are not gone. The Mosaic Doctrine’s 31 autonomous commands can still launch from dispersed positions using the simplest guidance systems available. The coastline that produces fast boats also produces cheap drones that do not need to be sophisticated to overwhelm. Lattice’s counter-UAS architecture, AI-fused radar and electro-optical data identifying threats in seconds, autonomous interceptors engaging without human delay, single operators managing swarm responses across the battlespace, is designed for exactly this: volume. The contract also reveals what the Army learned from Ukraine that it will not say publicly. Indigenous Ukrainian interceptors achieved 70% success rates against Russian drones in February 2026, built cheaply, iterated rapidly, and deployed at scale by operators who learned electronic warfare the hard way. The Army watched a country with a fraction of America’s budget outperform imported systems by iterating faster. The $20 billion is not just a purchase. It is an admission that the future of air defence is software-defined, AI-driven, and built by companies that treat combat data as a product cycle rather than a procurement milestone. Anduril’s drones crashed in Ukraine. Then they learned to see. Now the Army is betting $20 billion that seeing is enough to win a war where everything that depends on a satellite signal dies. Full deep dive analysis open.substack.com/pub/shanakaans…

@TheInsiderPaper A few dozen Anduril Dive-XL UUVs (each carrying modular EW payloads) could stealthily loiter nearby, surface antennas, and jam their GPS + comms coordination across the whole formation.

Thousands of Chinese fishing boats have been massing in geometric formations in the East China Sea, in coordinated actions that experts believe are part of Beijing's preparations for a potential regional crisis or conflict — AFP

@SawyerMerritt I’ll wait until it’s 60% off in 27’

NEWS: Porsche has unveiled their all-electric Cayenne S SUV, the mid-level trim of the new Cayenne Electric. • Starting price: $126,000 • Range: ~340 miles • 113 kWh battery • 0-60mph: 3.6s • Peak charging speed: 400kW. 10-80% in less than 16 mins • Native NACS port • Up to 657 hp • Curved OLED center screen • Drag coefficient: 0.25 • 14.25″ digital instrument cluster (OLED) + optional 14.9″ passenger display • Optional AR head-up display: virtually projects an 87-inch display 10 meters in front of the car. • Cargo space: 781–1,588 L (19.5–56.1 cu ft), plus a 90 L front trunk. • Heated seats, armrests, door panels and steering wheel • 800v architecture • Top speed: 155mph • This S trim is $17,000 more expensive than the entry-level Cayenne Electric ($111k) and $37,000 less than the top Cayenne Turbo Electric trim (163k). • Deliveries expected end of Summer 2026

@SawyerMerritt @wholemars Worst part is these systems always have delamination of the screens. Absolute junk.

It’s 2026 and there are legacy automakers that are still shipping crap infotainment systems like it’s 2010. It takes 15 seconds for this Subaru Forester Hybrid to boot up. It takes 4 seconds for the car to even recognize that you tapped “I agree” lol. Horrendous lag.

@OnlyInBOS $69 down. $800 to come back up.

JetBlue is launching new nonstop flights from Boston to Destin–Fort Walton Beach, Florida. Intro fares start at $69 one-way. The Florida Panhandle destination is known for its white sand beaches and emerald water, with flights operating multiple days a week from Logan Airport.

@WarMonitor3 Long hair. Don’t care. 🤷🏼‍♂️

Iran has tried to send messages to the US over the past few days but has received no response-Reuters

@SpearfishingCap I’ve followed Mark since the Tesla Megapack days, but the nonstop negativity lately isn’t adding value for me. At some point you have to curate your feed and protect your mindset. Muted. Moving forward.

Hypothetically, if $EOSE was told by Halmar/NYC Energy LLC that its NYSERDA project bid won (happening in 1Q26) and the official public announcement is scheduled for Q2 2026, then management legally cannot purchase shares until this MNPI is made public.

@AutismCapital Road rage it seems for this incident

What’s going on here? Is this some sort of sleeper cell thing? Have they all been given the code word?

This gets to the core of the issue more than any debate about specific terms. Do you believe in democracy? Should our military be regulated by our elected leaders, or corporate executives? Seemingly innocuous terms from the latter like "You cannot target innocent civilians" are actually moral minefields that lever differences of cultural tradition into massive control. Who is a civilian and not? What makes them innocent or not? What does it mean for them to be a "target" vs collateral damage? Existing policy and law has very clear answers for these questions, but unelected corporations managing profits and PR will often have a very different answer. Imagine if a missile company tried to enforce the above policy, that their product cannot be used to target innocent civilians, that they can shut off access if elected leaders decide to break those terms. Sounds, good, right? Not really - in addition to the value judgement problems I list above, you also have to account for questions like: -What level of information, classified and otherwise, does the corporation receive that would allow them to make these determinations? How much leverage would they have to demand more? -What if an elected President merely threatens a dictator with using our weapons in a certain way, ala Madman Theory/MAD? Is the threat seen as empty because the dictator knows the corporate executives will cut off the military? Is the threat enough to trigger the cutoff? How might either of those determinations vary if the current corporate executive happens to like the dictator or dislike the President? -At what level of confidence does the cutoff trigger, both in writing and in reality? The fact that this is a debate over AI does not change the underlying calculus. The same problems apply to definitions and use of ethically fraught but important capabilities like surveillance systems or autonomous weapons. It is easy to say "But they will have cutouts to operate with autonomous systems for defensive use!", but you immediately get into the same issues and more - what is autonomous? What is defensive? What about defending an asset during an offensive action, or parking a carrier group off the coast of a nation that considers us to be offensive? At the end of the day, you have to believe that the American experiment is still ongoing, that people have the right to elect and unelect the authorities making these decisions, that our imperfect constitutional republic is still good enough to run a country without outsourcing the real levers of power to billionaires and corpos and their shadow advisors. I still believe. And that is why "bro just agree the AI won't be involved in autonomous weapons or mass surveillance why can't you agree it is so simple please bro" is an untenable position that the United States cannot possibly accept.

@dmottco I'd much rather listen to people who "completely sold out of my position" trash-talk the company and endlessly tag both the ticker and the executive team as they obsess over a company they're no longer involved in.

$eose everyone needs to listen to the call again, you probably heard shaky voices because you were shaky in your head, this company is not going to fail, this rerate makes sense but it wont last too long, but what the fuck do I know

@GuntherEagleman Nice - Phase 2!

🚨 JUST IN: AG Pam Bondi just UNLEASHED the FULL Epstein Files under the Transparency Act, ALL 3.5 MILLION pages DROPPED, redactions JUSTIFIED only for victims, and HIGH-PROFILE names EXPOSED with ZERO cover-ups for embarrassment or politics. “No records withheld or redacted based on embarrassment, reputational harm, or political sensitivity to ANY official, public figure, or foreign dignitary!” This BACKFIRED BIGLY on the left, powerful Dems like Bill Clinton (mentioned 1,193 times!) and others BUSTED, while fake smears against Trump called out as BS! VINDICATION for Trump!

@NoLimitGains Check into $EOSE when you get a chance. Would love to hear your thoughts. LDES 93%+ domestically sourced materials. No fire suppression or cooling needed. Ramping up lines 2+ now through 26’

🚨 CRITICAL UPDATE Wake up. The signals couldn’t be louder. This hasn’t happened once in the last 60 years. Ignore at your own risk. The S&P is close to all-time highs. That’s great, right? Well, there’s something most investors aren’t telling you. The market is fundamentally broken, and the price is just a distraction. I’ve been studying market structure for the last 20 years, and I’ve never seen this in my career. Currently, the price is a derivative of just a few large companies, not the U.S. economy like it’s supposed to be. Here’s the data regarding the concentration levels in the S&P 500 right now: Top 10 companies: ~38.74% of the entire index Magnificent 7: ~32.98% of the entire index Remaining 493 companies: fighting for liquidity The S&P 500 hasn’t been this concentrated since the mid-1960s. That’s right, over 60 years ago. To give you an idea, during the dot-com peak, the top 10 accounted for ~27%-29%, well below today. During the Nifty Fifty era, the top 10’s weight was roughly in the mid-to-high 30% range. Do you understand how crazy that is? This means that if only a handful of large companies fall in price, the S&P 500 could drop drastically. I’m warning you: until this divergence resolves, you need to be careful. But I don’t expect it to resolve anytime soon. Matter of fact, I expect it to get worse. As you might expect, the ice is currently too thin for me to buy aggressively with size. For transparency, I’m still holding OIH, XLE & NTR and like I said this is a multi-year long investment. My current strategy pivots away from tech to focus on opportunities in the energy and agriculture sectors. I’ll keep monitoring the situation and share an update every few days. When I start deploying a lot of capital again, I’ll say it here publicly, as usual. Remember that I’ve called every market top and bottom of the last 10 years, and I’ll do it again because I want you to win. Many people will wish they followed me sooner.

@GrindeOptions 🔋 Here since 23’ 👍

If you’re a $EOSE shareholder, I want to follow you. 🤘🏻

@mattshumer_ Really well written Matt. Have shared this around a dozen times already - truly exciting times ahead of us!

Every time someone asks me what's going on with AI, I give them the safe answer. Because the real one sounds insane. I'm done holding back. I wrote what I wish I could sit down and tell everyone I care about. Send it to someone who needs to read it. x.com/mattshumer_/st…